Congruence of diagnoses 2 years after a first-admission diagnosis of psychosis

A Ten-Year Cohort Study on the Stability and Trajectories of Psychiatric Diagnosis in Adolescents and Young Adults in Lazio, Italy

INTRODUCTION

We aimed to evaluate the diagnostic stability of a large spectrum of psychiatric diagnoses in adolescents and young adult patients attending specialised facilities in the Lazio Region (Italy).

METHODS

A total of 3871 subjects (11-35 years) at their first hospitalisation with a psychiatric diagnosis were selected and followed up for 10 years on subsequent hospital admissions to psychiatric care.

RESULTS

A total of 1145 patients were readmitted to a hospital for a psychiatric disorder in the following 10 years. Among these subjects, the concordance between the first and last diagnosis was 57.8% with a weighted kappa of 0.47 (95% CI: 0.42-0.51); the repeated stability (the same diagnosis in at least 75% of admissions) was 31.2%. The diagnostic categories with the highest values of prospective concordance and kappa were schizophrenia spectrum and other functional psychoses (70%, kappa 0.53), substance use disorders (54%, kappa 0.57), and eating disorders (80.9%, kappa 0.76).

CONCLUSIONS

In a population study, the stability over time of the first psychiatric diagnosis in a hospital varied according to the specific diagnostic categories, and overall, it was lower than previously reported. The trajectories were disorder-specific, and the stability was influenced by several factors, including the individuals' characteristics, the disorder's severity, and the diagnostic setting.

Predicting the evolution from first-episode psychosis to mood or psychotic disorder: A systematic review of biological markers

BACKGROUND AND HYPOTHESIS

The development of paraclinical tools to assist clinical assessment is already widespread in nearly all other medical specialties. In psychiatry, many efforts are being made to improve management strategies using these new techniques. The first episode psychosis (FEP) is a clinical entity whose evolution after onset is difficult to predict in the current state of our practices. Our main objective was to identify from the literature the most promising biological markers for early prediction of thymic or psychotic trajectories following FEP.

STUDY DESIGN

We performed a systematic literature review on 4 databases: PubMed, Scopus, PsycINFO, and Web of Science following PRISMA guidelines and using search terms related to FEP and biomarkers.

STUDY RESULTS

Eight studies were included in our final analysis. Several biomarkers showed promising discriminatory capacities for predicting post-FEP evolution: the interleukins IL-6, IL-12p40, IL-1β, and the mRNA expression levels of the DICER-1 and AKT-1 genes. Other studies that opted for broad-spectrum strategies also highlighted new leads for the discovery of additional biomarkers.

CONCLUSIONS

Overall, our results indicate the value of replicating studies targeting the analysis of the predictive capacities of several biological markers. It also appears important to homogenize methodologies and favor the construction of predictive models on several of these markers to reinforce their statistical significance.

Diagnostic shift in adolescents with first episode psychosis: findings from the 2-year follow-up of the "Parma Early Psychosis" program

PURPOSE

Diagnostic stability for people with First Episode Psychosis (FEP) is essential for treatment, but it remains poorly investigated, especially in adolescents and within a prospective design. The aims of this research were: (a) to examine diagnostic change in Italian adolescents with FEP treated within an "Early Intervention in Psychosis" program during a 2-year follow-up period and (b) to investigate any sociodemographic and clinical predictors at baseline.

METHODS

At baseline, 66 adolescents with FEP was recruited. Their primary diagnosis was formulated both at baseline and at the end of follow-up. At presentation, FEP adolescents completed the Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA). As for diagnostic stability, the Kappa statistic was calculated. The associations of diagnostic change with baseline clinical and sociodemographic features were analyzed using a logistic model with the diagnostic shift as dependent variable. A propensity score was finally calculated based on logistic analysis results.

RESULTS

38 (57.6%) FEP adolescents changed their opening diagnosis. The highest prospective diagnostic stability was for initial diagnosis of schizophrenia (95.4%) and affective spectrum psychoses (75%). Diagnostic instability was high for opening diagnosis of psychosis not otherwise specified, brief psychosis and schizophreniform disorder (100%). The best predictors of diagnostic change were fewer years of education, shorter duration of untreated psychosis and higher baseline levels of psychiatric symptoms.

CONCLUSION

Diagnostic stability is crucial for treatment and clinical decision making. Addressing instability in FEP diagnoses is an important challenge for future diagnostic development in early psychosis, especially in adolescence.

Effects of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition Criteria Changes for Schizophrenia on Diagnoses of First-Episode Schizophrenia Spectrum Disorders

OBJECTIVE

Impact of Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) changes on the criteria for schizophrenia (SZ) has been reported to be minimal in previous studies. However, this could be different in first-episode schizophrenia spectrum disorders (FE-SSDs). We investigated what proportion of patients with FE-SSDs was diagnosed based on the sole presence of bizarre delusions (BDs) or first rank auditory hallucinations (FRAHs). Their alternative diagnosis by the DSM-5 was established and diagnostic stability over 1-year was identified.

METHODS

This was a retrospective review study on the medical records, case report forms for the subjects with FE-SSDs (n=404) participated in the Korea Early Psychosis Study. The two Japanese sites reviewed retrospectively only medical records of the subjects with FE-SSDs (n=103). We used three different definitions of BDs (strict, narrow, and broad) and specified subtypes of Other Specified Schizophrenia spectrum and Other psychotic disorders (OSSOs). To ensure inter-rater reliability between the hospitals, regular zoom meetings were held.

RESULTS

Forty (7.89%) subjects out of 507 were found to be diagnosed as SSDs based on the sole presence of BDs or FRAHs. All these patients met the criteria of OSSOs and were classified as having pure delusion (n=22), delusion with attenuated auditory hallucinations (AHs) (n=5), pure AHs (n=3) and AHs with attenuated delusion (n=10). The patients with first and second subtypes (n=27) were found to have BDs. The BDs fulfilled mostly strict definitions or satisfied the next broadest definition. The diagnostic stability of FE-OSSOs and its subgroups (first and second subtypes) over 1-year was substantially high (70.27% and 84% respectively).

CONCLUSION

These findings suggest that more rigorous diagnostic assessment should be performed especially to differentiate OSSOs from SZ in patients with FE-SSDs and more refined classification of the subtypes for OSSOs considered in the next DSM revision.

Polygenic and Polyenvironment Interplay in Schizophrenia-Spectrum Disorder and Affective Psychosis; the EUGEI First Episode Study

BACKGROUND

Multiple genetic and environmental risk factors play a role in the development of both schizophrenia-spectrum disorders and affective psychoses. How they act in combination is yet to be clarified.

METHODS

We analyzed 573 first episode psychosis cases and 1005 controls, of European ancestry. Firstly, we tested whether the association of polygenic risk scores for schizophrenia, bipolar disorder, and depression (PRS-SZ, PRS-BD, and PRS-D) with schizophrenia-spectrum disorder and affective psychosis differed when participants were stratified by exposure to specific environmental factors. Secondly, regression models including each PRS and polyenvironmental measures, including migration, paternal age, childhood adversity and frequent cannabis use, were run to test potential polygenic by polyenvironment interactions.

RESULTS

In schizophrenia-spectrum disorder vs controls comparison, PRS-SZ was the strongest genetic predictor, having a nominally larger effect in nonexposed to strong environmental factors such as frequent cannabis use (unexposed vs exposed OR 2.43 and 1.35, respectively) and childhood adversity (3.04 vs 1.74). In affective psychosis vs controls, the relative contribution of PRS-D appeared to be stronger in those exposed to environmental risk. No evidence of interaction was found between any PRS with polyenvironmental score.

CONCLUSIONS

Our study supports an independent role of genetic liability and polyenvironmental risk for psychosis, consistent with the liability threshold model. Whereas schizophrenia-spectrum disorders seem to be mostly associated with polygenic risk for schizophrenia, having an additive effect with well-replicated environmental factors, affective psychosis seems to be a product of cumulative environmental insults alongside a higher genetic liability for affective disorders.

Long-term diagnostic stability, predictors of diagnostic change, and time until diagnostic change of first-episode psychosis: a 21-year follow-up study

BACKGROUND

Although diagnostic instability in first-episode psychosis (FEP) is of major concern, little is known about its determinants. This very long-term follow-up study aimed to examine the diagnostic stability of FEP diagnoses, the baseline predictors of diagnostic change and the timing of diagnostic change.

METHODS

This was a longitudinal and naturalistic study of 243 subjects with FEP who were assessed at baseline and reassessed after a mean follow-up of 21 years. The diagnostic stability of DSM-5 psychotic disorders was examined using prospective and retrospective consistencies, logistic regression was used to establish the predictors of diagnostic change, and survival analysis was used to compare time to diagnostic change across diagnostic categories.

RESULTS

The overall diagnostic stability was 47.7%. Schizophrenia and bipolar disorder were the most stable diagnoses, with other categories having low stability. Predictors of diagnostic change to schizophrenia included a family history of schizophrenia, obstetric complications, developmental delay, poor premorbid functioning in several domains, long duration of untreated continuous psychosis, spontaneous dyskinesia, lack of psychosocial stressors, longer duration of index admission, and poor early treatment response. Most of these variables also predicted diagnostic change to bipolar disorder but in the opposite direction and with lesser effect sizes. There were no significant differences between specific diagnoses regarding time to diagnostic change. At 10-year follow-up, around 80% of the diagnoses had changed.

CONCLUSIONS

FEP diagnoses other than schizophrenia or bipolar disorder should be considered as provisional. Considering baseline predictors of diagnostic change may help to enhance diagnostic accuracy and guide therapeutic interventions.

Diagnostic shift in first episode psychosis: Results from the 2-year follow-up of the "Parma Early Psychosis" program

PURPOSE

Although the stability of current diagnostic criteria for people with First Episode Psychosis (FEP) is essential for treatment, it still remains poorly investigated. As its examination necessarily requires a prospective evaluation of diagnostic trajectories, the aims of the current longitudinal investigation were: (a) to assess diagnostic changes in an Italian FEP population treated within an "Early Intervention in Psychosis" service during a 2-year follow-up period, and (b) to identify potential sociodemographic and clinical moderators of diagnostic instability at entry.

METHODS

All participants were FEP individuals, aged 12-35 years. Their primary diagnosis was formulated both at baseline and at the end of the follow-up. At entry, they also completed the Positive And Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF) scale. As measure of diagnostic stability, the Kappa statistic was first calculated. The associations of diagnostic shift with baseline sociodemographic and clinical characteristics were then analyzed using a logistic model with the diagnostic change as dependent variable. Finally, a propensity score was calculated, based on logistic analysis results.

RESULTS

221 (50.1 %) FEP participants changed their initial diagnosis. The highest prospective diagnostic stability was found for initial diagnosis of schizophrenia (93.9 %) and affective spectrum psychoses (92.4 %). Diagnostic instability was high for initial diagnosis of brief psychotic disorder (100 %), schizophreniform disorder (100 %) and psychotic disorder not otherwise specified (92.1 %). The best predictors of diagnostic change were previous contact with neuropsychiatry services, shorter duration of untreated psychosis and higher baseline levels of disorganization.

CONCLUSIONS

Diagnostic stability is crucial for treatment and clinical decision making. Addressing instability in FEP diagnoses and detecting its moderators at entry are important challenges for future diagnostic development of early psychosis.

The Course Patterns and Diagnostic Shifts of Patients With Schizoaffective Disorder: A Retrospective Cohort Study

ABSTRACT

Since its introduction, schizoaffective disorder (SAD) has been one of the most controversial diagnoses in psychiatry, both clinically and nosologically. In the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), SAD diagnostic criteria were changed, and instead of a cross-sectional diagnosis, a longitudinal approach covering the life course of the illness was adopted. In this study, the meaning of this conceptual shift in the diagnosis of SAD in clinical practice is investigated throughout the course of the illness for patients with SAD. Sixty-two inpatients diagnosed with SAD according to DSM-5 diagnostic criteria are included in this study. The course of the illness from its onset to the present is investigated retrospectively. The disease duration is 18.3 ± 9.1 years. The most common diagnoses in the first hospitalization are bipolar disorder (manic episodes) and psychotic disorder, not otherwise specified. Furthermore, the time that elapsed between the first psychiatric application of the patients and the diagnosis of SAD is 9.5 ± 7.3 years. Further, when the course of the illness is grouped according to the predominance of affective and psychotic disorders, recurrent affective disorders are observed most frequently (29.3%), followed by mixed-episode disorders and a shift from affective disorders to psychotic disorders (22.4%). It is found that SAD has a heterogeneous course, and affective disorder diagnoses are more dominant during the course of the illness. The clinical relevance of the longitudinal emphasis on the total duration of the illness in the DSM-5 is also demonstrated. The affective and psychotic dichotomy, based on Kraepelin, has failed to elucidate the course of the disease in clinical practice. Therefore, clinicians should meticulously evaluate the entire course of the illness for SAD and avoid conclusive judgments over a single episode.

Link between cognitive polygenic risk scores and clinical progression after a first-psychotic episode

BACKGROUND

Clinical intervention in early stages of psychotic disorders is crucial for the prevention of severe symptomatology trajectories and poor outcomes. Genetic variability is studied as a promising modulator of prognosis, thus novel approaches considering the polygenic nature of these complex phenotypes are required to unravel the mechanisms underlying the early progression of the disorder.

METHODS

The sample comprised of 233 first-episode psychosis (FEP) subjects with clinical and cognitive data assessed periodically for a 2-year period and 150 matched controls. Polygenic risk scores (PRSs) for schizophrenia, bipolar disorder, depression, education attainment and cognitive performance were used to assess the genetic risk of FEP and to characterize their association with premorbid, baseline and progression of clinical and cognitive status.

RESULTS

Schizophrenia, bipolar disorder and cognitive performance PRSs were associated with an increased risk of FEP [false discovery rate (FDR) ⩽ 0.027]. In FEP patients, increased cognitive PRSs were found for FEP patients with more cognitive reserve (FDR ⩽ 0.037). PRSs reflecting a genetic liability for improved cognition were associated with a better course of symptoms, functionality and working memory (FDR ⩽ 0.039). Moreover, the PRS of depression was associated with a worse trajectory of the executive function and the general cognitive status (FDR ⩽ 0.001).

CONCLUSIONS

Our study provides novel evidence of the polygenic bases of psychosis and its clinical manifestation in its first stage. The consistent effect of cognitive PRSs on the early clinical progression suggests that the mechanisms underlying the psychotic episode and its severity could be partially independent.

Use of multiple polygenic risk scores for distinguishing schizophrenia-spectrum disorder and affective psychosis categories in a first-episode sample; the EU-GEI study

BACKGROUND

Schizophrenia (SZ), bipolar disorder (BD) and depression (D) run in families. This susceptibility is partly due to hundreds or thousands of common genetic variants, each conferring a fractional risk. The cumulative effects of the associated variants can be summarised as a polygenic risk score (PRS). Using data from the EUropean Network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) first episode case-control study, we aimed to test whether PRSs for three major psychiatric disorders (SZ, BD, D) and for intelligent quotient (IQ) as a neurodevelopmental proxy, can discriminate affective psychosis (AP) from schizophrenia-spectrum disorder (SSD).

METHODS

Participants (842 cases, 1284 controls) from 16 European EU-GEI sites were successfully genotyped following standard quality control procedures. The sample was stratified based on genomic ancestry and analyses were done only on the subsample representing the European population (573 cases, 1005 controls). Using PRS for SZ, BD, D, and IQ built from the latest available summary statistics, we performed simple or multinomial logistic regression models adjusted for 10 principal components for the different clinical comparisons.

RESULTS

In case-control comparisons PRS-SZ, PRS-BD and PRS-D distributed differentially across psychotic subcategories. In case-case comparisons, both PRS-SZ [odds ratio (OR) = 0.7, 95% confidence interval (CI) 0.54-0.92] and PRS-D (OR = 1.31, 95% CI 1.06-1.61) differentiated AP from SSD; and within AP categories, only PRS-SZ differentiated BD from psychotic depression (OR = 2.14, 95% CI 1.23-3.74).

CONCLUSIONS

Combining PRS for severe psychiatric disorders in prediction models for psychosis phenotypes can increase discriminative ability and improve our understanding of these phenotypes. Our results point towards the potential usefulness of PRSs in specific populations such as high-risk or early psychosis phases.

Diagnostic Stability in Psychiatric Patients From Hospital Admission to Discharge: A 10-Year Retrospective Study

OBJECTIVE

This study aimed to evaluate the consistency or stability of mental disorders diagnosed in the psychiatry ward setting, investigate factors associated with consistency, and observe the disease distribution over the decade.

METHODS

A total of 20,359 psychiatric inpatients were included in this retrospective study from June 2011 to December 2020. Diagnoses from the first admission to discharge were evaluated to determine the diagnostic consistency during hospitalization. Readmissions were selected as the subgroup, whose first and last discharge diagnoses were compared to analyze the relatively long-term diagnostic stability. Demographic and clinical characteristics were collected to identify predictors of diagnostic discrepancy.

RESULTS

From 2011-2020, the hospitalization rate decreased from 42.7% to 20.7% for schizophrenia and grew from 13.3% to 23.8% for depression. Diagnoses were retained by 92.6% of patients at their first discharge diagnosis, ranging from 100% for disorders of psychological development to 16.3% for unspecified mental disorders. About 33.9% of diagnostic conversions were to bipolar disorder in patients having inconsistent diagnoses. However, among rehospitalizations, the diagnostic stability notably dropped to 71.3%. For rehospitalizations, mood disorders and schizophrenia spectrum disorders were relatively stable diagnoses categories, with 72.6% to 76.7% of patients receiving the same diagnosis, although results of specified diagnoses within these categories ranged from 5.9% to 91.0%. Except for mood disorders and schizophrenia spectrum disorders, the diagnoses of all other categories were below 70%. Long lengths of hospitalization and old age were associated with short-term diagnosis alterations.

CONCLUSION

Longitudinal follow-up and integration of multiple aspects of information are essential for accurate diagnosis.

Schizophrenia or schizoaffective disorder? A 50-year assessment of diagnostic stability based on a national case registry

BACKGROUND

Schizoaffective disorder (SAD) remains a controversial diagnosis in terms of necessity and reliability.

OBJECTIVES

We assessed diagnostic patterns of SAD and schizophrenia (SZ) among hospitalized psychiatric patients over a fifty-year period.

METHOD

Data from the Israeli National Psychiatric Registry on 16,341 adults diagnosed with SZ or SAD, hospitalized at least twice in 1963-2017, were analyzed. Stability between most-frequent, first and last diagnosis, and diagnostic-constancy (the same diagnosis in >75 % of a person's hospitalizations) were calculated. Three groups were compared: People with both SAD and SZ diagnoses over the years (SZ-SAD), and people with only one of these diagnoses (SZ-only; SAD-only). The incidence of SAD and SZ before and after DSM-5 publication was compared.

RESULTS

Reliability between last and first diagnosis was 60 % for SAD and 94 % for SZ. Agreement between first and most-frequent diagnosis was 86 % for SAD and 92 % for SZ. Diagnostic shifts differ between persons with SAD and with SZ. Diagnostic-constancy was observed for 50 % of SAD-only patients. In the SZ-SAD group, 9 % had a constant SAD diagnosis. Compared to the other groups, the SZ-SAD group exhibited a higher substance use prevalence, younger age at first-hospitalization, and more hospitalizations/person (p < 0.0001). The incidence of a first-hospitalization SAD diagnosis increased by 2.2 % in the 4-years after vs. prior to DSM-5.

CONCLUSIONS

A SAD diagnosis is less stable than SZ. The incidence of a SAD diagnosis increased after DSM-5, despite stricter diagnostic criteria. The SZ-SAD group exhibited the poorest outcomes. SAD may evolve over time necessitating periodic re-evaluation.

Development and Validation of Predictive Model for a Diagnosis of First Episode Psychosis Using the Multinational EU-GEI Case-control Study and Modern Statistical Learning Methods

Background and Hypothesis

It is argued that availability of diagnostic models will facilitate a more rapid identification of individuals who are at a higher risk of first episode psychosis (FEP). Therefore, we developed, evaluated, and validated a diagnostic risk estimation model to classify individual with FEP and controls across six countries.

Study Design

We used data from a large multi-center study encompassing 2627 phenotypically well-defined participants (aged 18-64 years) recruited from six countries spanning 17 research sites, as part of the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions study. To build the diagnostic model and identify which of important factors for estimating an individual risk of FEP, we applied a binary logistic model with regularization by the least absolute shrinkage and selection operator. The model was validated employing the internal-external cross-validation approach. The model performance was assessed with the area under the receiver operating characteristic curve (AUROC), calibration, sensitivity, and specificity.

Study Results

Having included preselected 22 predictor variables, the model was able to discriminate adults with FEP and controls with high accuracy across all six countries (rangesAUROC = 0.84-0.86). Specificity (range = 73.9-78.0%) and sensitivity (range = 75.6-79.3%) were equally good, cumulatively indicating an excellent model accuracy; though, calibration slope for the diagnostic model showed a presence of some overfitting when applied specifically to participants from France, the UK, and The Netherlands.

Conclusions

The new FEP model achieved a good discrimination and good calibration across six countries with different ethnic contributions supporting its robustness and good generalizability.

Comparison of clinical features and 1-year outcomes between patients with psychotic disorder not otherwise specified and those with schizophrenia

AIM

Research on psychotic disorder not otherwise specified (PNOS) that clearly mentions its subgroups is very rare. This study was conducted to identify the demographic and clinical features, cognitive function, and 1-year outcomes of patients with early stage PNOS compared with those with early stage schizophrenia (SZ).

METHODS

The study subjects were 54 and 321 patients with PNOS and SZ, respectively, who were registered at least more than 1 year ago. Due to drop out, only 37 and 210 patients with PNOS and SZ were evaluated at the 1-year follow-up. We compared clinical variables (duration of untreated psychosis, symptom severity, self-rating scales, and so on), cognitive function, and short-term outcomes (treatment response, remission, compliance, drop out, relapse) between the two groups.

RESULTS

The patients with PNOS were associated with higher diagnostic stability (53.7%) compared with those in previous studies. They had lower symptom severity, better treatment response at 2 months and higher remission rates at 12 months, but poorer compliance at 6 months compared with patients with SZ. Level of cognitive impairment in PNOS was intermediate between those of SZ patients and healthy controls.

CONCLUSIONS

These findings indicate that PNOS has unique clinical features, suggesting that it should be treated as a distinct clinical syndrome. At the same time, however, prevention of its possible progression to other psychotic disorders in some patients with PNOS is also important.

The predictive validity and outcome of ICD-10 and DSM-5 short-lived psychotic disorders: a review and meta-analysis

The ICD-10 Classification of Mental and Behavioural Disorders introduced the category of 'acute and transient psychotic disorders' (ATPDs) encompassing polymorphic, schizophrenic and predominantly delusional subtypes, and the forthcoming ICD-11 revision has restricted it to polymorphic psychotic disorder, while the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) listed 'brief psychotic disorder' (BPD). To assess the predictive validity and outcome of ATPDs and BPD, relevant papers in English, French and German were searched in PubMed and Web of Science. Where possible meta-analysis of prognostic validators (diagnostic stability, course, outcome and response to treatment) was conducted. Fifty studies published between January 1993 and July 2019 were found. The clinical and functional outcome of ATPDs proved better than in schizophrenia and related disorders, but mortality risk is high, particularly suicide, and treatment trials provide little evidence. Meta-analysis of 25 studies (13,507 cases) revealed that 55% (95% CI 49-62) do not change diagnosis, 25% (95% CI 20-31) converted into schizophrenia and related disorders, and 12% (95% CI 7-16) into affective disorders on average over 6.3 years. Subgroup meta-analysis estimated prospective consistency of polymorphic psychotic disorder (55%; 95% CI 52-58) significantly greater than that of the ATPD subtypes with schizophrenic (OR 1.7; 95% CI 1.4-2.0) and predominantly delusional (OR 1.3; 95% CI 1.1-1.5) symptoms. Moreover, the diagnostic stability of BPD (13 studies; 294 cases) was 45% (95% CI 32-50) over a mean 4.2 years. Although these findings indicate that short-lived psychotic disorders have little predictive validity, significant differences among the ATPD subtypes support the revised ICD-11 ATPD category.

Diagnostic stability in substance-induced psychosis

INTRODUCTION

Substance-induced psychosis (SIP) is the name given to a psychosis that starts in the context of substance abuse but persists for days and weeks with no substance use. There is as yet little knowledge about the longitudinal course of this psychosis, which suggests that significant numbers go on to be diagnosed with a severe mental disorder (SMD). The objective of this study was to analyse the progression of SIP to SMD in our environment and the possible factors that may be involved in that conversion.

MATERIAL AND METHODS

We used a retrospective cohort follow-up design. We reviewed all diagnoses of patients discharged from the psychiatric hospitalisation unit of the University Hospital of Basurto from January 2002 to December 2015 inclusively. In addition to sociodemographic and clinical data, information was collected on the consumption of cannabinoids, opioids, amphetamines, cocaine and alcohol. The data were analysed using descriptive analysis, Kaplan-Meier survival curves and Cox regression.

RESULTS

Of the 116 patients, 78.4% were male, had an average age of 33.0 (SD = 8.9) years and 44.0% were single; 31.0% had a psychiatric family history; the most commonly used substance was cannabis (60.3%), followed by cocaine (40.5%). The cumulative risk of diagnostic conversion to an SMD in 16 years was 41.6% (95%CI: 32.2-52.2) over a mean 36.43 months.

CONCLUSIONS

In interventions in episodes of SIP we must bear in mind that a significant proportion will progress to an SMD in the first three years.

Prefrontal abnormalities, executive dysfunction and symptoms severity are modulated by COMT Val158Met polymorphism in first episode psychosis

INTRODUCTION

Core dysfunctions proposed for psychotic disorders include prefrontal cortex (PFC) dopaminergic hypoactivity, executive function (EF) deficits and reduced gray matter in the PFC. The Val variant of COMT Val₁₅₈Met polymorphism is associated with reduced dopaminergic signaling in the PFC. However, it is unclear how COMT Val₁₅₈Met modulates PFC gray matter reduction, EF deficits and symptom severity at the time of the first psychotic episode.

METHODS

The effect of COMT on both EF performance and prefrontal volume (PFC-VOL) was tested in 158 first episode psychosis (FEP) patients and 141 healthy controls (HC) matched for age (range 9-35 years), sex, ethnicity, handedness and COMT Val₁₅₈Met distribution. EF and PFC-VOL were compared between FEP and HC groups within each polymorphism status (Met/Met versus Val carriers) to assess whether COMT influenced diagnostic differences. Next, correlations between PFC-VOL and EF performance were computed, as well as between both variables and other clinical characteristics of interest (PANSS scores, PAS infancy and premorbid IQ) in the FEP sample.

RESULTS

COMT influenced the diagnostic differences mainly in PFC-VOL, but also in EF performance. FEP-Val carriers showed lower EF scores and reduced PFC-VOL compared to the HC group but also poorer EF performance than FEP Met/Met. Poorer EF performance was associated with smaller PFC-VOL, and both were related to increased severity of negative symptoms, poorer premorbid adjustment, and lower estimated premorbid IQ in FEP patients.

CONCLUSIONS

Our findings suggest that COMT Val₁₅₈Met polymorphism might contribute to PFC-VOL reductions, executive dysfunctions and symptom severity in FEP patients.

Validity, reliability and clinical utility of mental disorders: The case of ICD-11 schizophrenia

Diagnostic classification systems categorise mental psychopathology in mental disorders. Although these entities are clinical constructs developed by consensus, it has been pointed out that in practice they are usually managed as natural entities and without evaluating aspects related to their nosological construction. The objectives of the study are to review a) the conceptualisation of mental disorders, b) the indicators of validity, reliability and clinical utility, and c) the values ​​of these indicators in ICD-11 schizophrenia. The results show that mental disorders are conceptualised as discrete entities, like the diseases of other areas of medicine; however, differences are observed between these diagnostic categories in clinical practice. The reliability and clinical utility of mental disorders are adequate; however, the validity is not yet clarified. Similarly, ICD-11 schizophrenia demonstrates adequate reliability and clinical utility, but its validity remains uncertain. The conceptualisation of psychopathology in discrete entities may be inadequate for its study, therefore dimensional and mixed models have been proposed. The indicators of validity, reliability and clinical utility enable us to obtain an accurate view of the nosological state of mental disorders when evaluating different aspects of their nosological construction.

Characteristics and Outcomes of Psychiatric Inpatients With Severe Mental Illness and COVID-19: Experience From a COVID-19-Specific Acute Psychiatric Ward in Istanbul

ABSTRACT

Recent studies indicated that psychiatric inpatients with severe mental illness (SMI) are at a greater risk of morbidity and mortality from COVID-19. However, there is still little data about the impact of comorbid COVID-19 infection on the course and outcome of acute exacerbations in this population. We conducted a prospective historically matched case control study. The sociodemographic and clinical characteristics of acute psychiatric inpatients with SMI and comorbid COVID-19 (n = 21) were compared with those of historically-matched non-COVID-19 controls with SMI (n = 42). The outcomes for acute inpatients with SMI and COVID-19 were also investigated. The new-onset SMI rate was relatively higher (23.8%) in the COVID-19 group, which has characteristics similar to those of the non-COVID-19 group except for working status (p < 0.05). The COVID-19 group had a high rate of relapse (47.6%) within 6 months of discharge. Our study suggests that patients with SMI who contracted SARS-CoV-2 may have a higher rate of new-onset mental disorder. Considering the high rate of relapse during the pandemic, chronically ill patients with SMI and COVID-19 should be closely monitored after discharge.

Stability of schizophrenia diagnosis in a 10-year longitudinal study on first episode of non-affective psychosis: Conclusions from the PAFIP cohort

OBJECTIVE

To evaluate the 10-year stability of schizophrenia diagnosis in a cohort of first-episode psychosis (FEP) patients and the factors associated with it.

METHODS

Changes in diagnosis of 209 FEP patients were described during 10 years of follow-up. Related factors with maintenance or change of schizophrenia diagnosis were evaluated in prospective and retrospective approaches through binary logistic regressions, ROC and survival curves.

RESULTS

Out of the 209 patients, 126 were diagnosed of schizophrenia 6 months after their inclusion in the clinical program. Prospective analyses showed that eight of those 126 schizophrenia patients had changed to a different diagnosis after 10 years, and predictors of change were better childhood premorbid adjustment, less severity of clinical global impression at baseline, and diagnosis of comorbid personality disorder during follow-up. Retrospectively, out of the 154 patients with schizophrenia in the 10-year assessment, 36 had a different diagnosis at baseline, and those factors related to a different prior diagnosis than schizophrenia were better socioeconomic status and shorter duration of untreated psychosis (DUP). A survival analysis on the timing of schizophrenia diagnosis showed that male gender and longer DUP were predictors of earlier definite diagnosis.

CONCLUSIONS

Diagnostic stability of schizophrenia in our FEP sample is high, especially prospective stability, and the group of patients with diagnostic change corresponded to a milder psychopathological profile before and at the onset of disease. Moreover, we observed a cautious attitude in the diagnosis of schizophrenia in patients with shorter DUP who had schizophrenia diagnosis after 10 years.

Environmental Risk Factors in Bipolar Disorder and Psychotic Depression: A Systematic Review and Meta-Analysis of Prospective Studies

OBJECTIVE

The aim of this systematic review and meta-analysis was to study the association between specific environmental risk factors (ERF) and later development of Bipolar disorder and Psychotic depression.

METHODS

A systematic search of prospective studies was conducted in MEDLINE, EMBASE and PsycINFO databases, and supplemented by hand searching, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (registration number: CRD42018092253). Selected ERF included: pre-/peri-natal factors-paternal age at birth, maternal infection, obstetric complications, perinatal stress; early childhood factors-urbanicity at birth, childhood infection, childhood adversity; later life factors-substance misuse, ethnic minority and migration, urbanicity later in life, stressful life events, and traumatic head injury. Pooled effect sizes of the association between these ERF and affective psychoses were calculated from systematically selected studies. When studies examining each ERF were insufficient for meta-analysis, results were presented narratively.

RESULTS

Forty-six studies were included for quantitative analyses among selected ERF for affective psychosis, with significant association found for paternal age >40 years (OR 1.17, 95%CI 1.12-1.23), early (OR 1.52, 95%CI 1.07-2.17) and late (OR 1.32, 95%CI 1.05-1.67) gestational age, childhood adversity (OR 1.33, 95%CI 1.18-1.50), substance misuse (OR 2.87, 95%CI 1.63-5.50), and being from an ethnic minority (OR 1.99, 95%CI 1.39-2.84).

CONCLUSIONS

These results suggest some shared environmental load between non-affective and affective psychosis, implying generalized risks for psychosis rather than for specific diagnostic categories. Nonetheless, published studies for some ERF in the affective psychoses are scarce, and further longitudinal studies are needed.

First-episode psychosis: How long does it last? A review of evolution and trajectory

Study of first-episode psychosis (FEP), an episode of psychotic nature which manifests for the first time in an individual in the longitudinal continuum of his/her illness, has been study matter of research interest in recent years. A comprehensive review of the literature will help us understand the evolution and trajectory of this concept better. A literature review of available articles addressing the concept, phenomenology, evolution, identification, course, and outcome of FEP was done; the same was subsequently divided into broad topics for better clarity and analyzed. FEP constituted a clinical psychotic phenomenon with underlying significant heterogeneity in diagnosis, stability, course, and outcome. The study has attempted to view FEP both as horizontal spectrum across various diagnoses and longitudinally ranging from asymptomatic individual with unknown risk status to attenuated psychosis to multiple relapses/unremitting illness. Many risk and protective factors have been brought out with varying certainty ranging bio-psycho-social spectrum. Efforts have been made to calculate polygenic risk score based on genes involvement/sharing between various psychotic spectrum disorders; as well as biomarker panels to identify people at risk. FEP may prove to be an important concept to understand psychosis in general; without putting things into the diagnostic rubric. It may help understand multiple risk and protective factors for the course and outcome of psychotic illness and may clear the cloud to sharpen the evidence toward commonality and distinctiveness between various psychotic diagnoses in vogue for more comprehensive concept.

Amygdala hyperconnectivity in the paranoid state: A transdiagnostic study

BACKGROUND

Paranoia significantly contributes to social impairments across clinical diagnoses, and amygdala dysfunction has been identified as a neurobiological marker of paranoia among individuals with schizophrenia. Therefore, we aimed to investigate amygdala functional connectivity (FC) in paranoia across diagnoses.

METHODS

Forty-five patients with recent history of clinically significant paranoid ideation and a current DSM-5 diagnosis of any disorder underwent resting-state functional magnetic resonance imaging either in a paranoid (N = 23) or non-paranoid (N = 22) state. Amygdala FC were compared between paranoid and non-paranoid patients. Supplemental correlation analyses between amygdala FC and paranoia score were performed separately in patients and a non-equivalent healthy control (HC; N = 60) group.

RESULTS

Increased FC was found between right amygdala and the prefrontal cortex (PFC) [bilateral medial superior frontal gyrus, anterior cingulate, medial frontal gyrus, the triangular part and the opercular part of the inferior frontal gyrus (IFG); right orbital part of IFG], the frontal cortex (bilateral median cingulate, left precentral gyrus), and subcortical areas (right insula) in the paranoid group compared with the non-paranoid group. No significant between-group differences were observed in left amygdala FC. FC between right amygdala and PFC and frontal cortex was positively correlated with paranoia in patient and HC groups.

CONCLUSION

Paranoia is associated with right amygdala hyperconnectivity with PFC, frontal cortex, and insula. This hyperconnectivity was evident regardless of diagnosis and therefore identify a likely transdiagnostic neural mechanism, which may help to identify treatment targets that could potentially improve the social functioning of individuals with clinical diagnoses.

Resilience in adolescent refugees living in Malaysia: The association with religiosity and religious coping

BACKGROUND

Until now, there is scarcity of information regarding resilience, religiosity and religious coping among adolescent refugees. Currently, most researches emphasize on the physical, psychological and social distresses experienced by refugees while overlooking these crucial aspects, that is, resilience and coping.

AIM

The study aimed to examine resilience and its association with religiosity and religious coping among adolescent refugees living in Malaysia.

METHODS

This is a cross-sectional study conducted in five community-based learning centres in Malaysia from July 2019 till December 2019. A total of 152 refugees, aged 13 to 19-years-old, were recruited. The study gauged resilience using the 14-Item Resilience Scale (RS-14), the Duke University Religion Index (DUREL) for religiosity and the Brief Religious Coping Scale (Brief RCOPE) for religious coping.

RESULTS

The majority of adolescent refugees portrayed moderate levels of resilience (43.5%). The study highlighted the interconnectedness between resilience and intrinsic religiosity (IR) (p < .001), as well as, positive (p < .001) and negative (p = .010) religious coping. Additionally, the results demonstrated that certain sociodemographic factors could potentially confound resilience, namely, countries of origin (p < .001), religion (p < .001), education centre (p < .001) and refugee status (p = .018).

CONCLUSION

With knowledge from this study, mental health professionals can initiate or improve liaison with religious-based services in working together to provide resources for adolescent refugees. Incorporating information regarding mental health with religious teachings may help increase resilience in young refugees and, in turn, alleviate their psychological distress.

Risk Factors, Clinical Features, and Polygenic Risk Scores in Schizophrenia and Schizoaffective Disorder Depressive-Type

There is controversy about the status of schizoaffective disorder depressive-type (SA-D), particularly whether it should be considered a form of schizophrenia or a distinct disorder. We aimed to determine whether individuals with SA-D differ from individuals with schizophrenia in terms of demographic, premorbid, and lifetime clinical characteristics, and genetic liability to schizophrenia, depression, and bipolar disorder. Participants were from the CardiffCOGS sample and met ICD-10 criteria for schizophrenia (n = 713) or SA-D (n = 151). Two samples, Cardiff Affected-sib (n = 354) and Cardiff F-series (n = 524), were used for replication. For all samples, phenotypic data were ascertained through structured interview, review of medical records, and an ICD-10 diagnosis made by trained researchers. Univariable and multivariable logistic regression models were used to compare individuals with schizophrenia and SA-D for demographic and clinical characteristics, and polygenic risk scores (PRS). In the CardiffCOGS, SA-D, compared to schizophrenia, was associated with female sex, childhood abuse, history of alcohol dependence, higher functioning Global Assessment Scale (GAS) score in worst episode of psychosis, lower functioning GAS score in worst episode of depression, and reduced lifetime severity of disorganized symptoms. Individuals with SA-D had higher depression PRS compared to those with schizophrenia. PRS for schizophrenia and bipolar disorder did not significantly differ between SA-D and schizophrenia. Compared to individuals with schizophrenia, individuals with SA-D had higher rates of environmental and genetic risk factors for depression and a similar genetic liability to schizophrenia. These findings are consistent with SA-D being a sub-type of schizophrenia resulting from elevated liability to both schizophrenia and depression.

Resting state quantitative electroencephalogram gamma power spectra in patients with first episode psychosis: An observational study

INTRODUCTION

Electrophysiological abnormalities, especially in the gamma frequency range, have been well documented in schizophrenia. This study was aimed to investigate the gamma spectral power of the brain in patients with first episode psychosis, using high-resolution electroencephalography.

METHODOLOGY

Twenty-nine neuroleptic naïve/free male patients with non-affective psychosis as per ICD 10 DCR clinical criteria were compared with thirty age, sex, education and handedness matched healthy individuals as controls. All participants underwent 192-channel resting electroencephalography (EEG) recording. Gamma spectral power was calculated for low (31-50 Hz) and high-gamma (51-70 and 71-100 Hz) bands and compared between two groups using MANOVA and supplementary one-way ANOVA. Pearson correlation and linear regression analyses were conducted between spectral power parameters and various clinical variables.

RESULTS

The gamma spectral power in 31-50 Hz and 51-70 Hz frequency bands was found to be significantly higher in patients in most brain regions. Duration of illness predicted the gamma spectral power in both right and left frontal regions of the brain in the frequency range 31-50 Hz and 71-100 Hz, as well as in the right temporal region in 71-100 Hz range, where it was negatively correlated.

CONCLUSION

Patients with first episode psychosis have increased gamma spectral power, which might be indirectly related to the duration of illness.

Stability of admission diagnoses; data from a specialized in-patient treatment facility for dual diagnosis

AIM

We investigated the stability of diagnoses during admission over an 11-year period in patients admitted to a highly specialized integrated dual diagnosis treatment facility in Denmark using diagnosis coded in patient charts.

MATERIALS AND METHODS

Admission and discharge diagnoses from patient files were examined for stability of primary diagnosis and association with year of admission, age, sex, and duration of admission, in 1570 patients from 2007 to 2017.

RESULTS

A vast proportion (69.6%) of the patients retained their diagnosis during a 3-month admission. Stability was highest for schizophrenia spectrum diagnoses and lowest for unspecified diagnosis. Type of primary diagnosis, age, and length of admission was associated with lower likelihood of a stable primary diagnosis.

CONCLUSIONS

Long-term admission for psychiatric patients with substance use disorder (SUD) was significantly associated with stability of diagnosis. The finding calls for longer observation of dual diagnosis patients to ensure that relevant diagnosis is given, and consequently that the appropriate clinical treatment such as psychopharmacological as well as non-pharmacological intervention can be applied.

Two-year diagnostic stability in a real-world sample of individuals with early psychosis

OBJECTIVES

Diagnostic shifts in first episode psychosis (FEP) are not uncommon. Many studies examining diagnostic stability use structured diagnostic interviews. Less is known about the stability of FEP diagnoses made clinically.

METHODS

We conducted a retrospective chart review of patients enrolled in a transdiagnostic FEP clinic. For the 96 patients followed clinically at least 2 years, we compared diagnoses at intake and 24 months.

RESULTS

Diagnostic stability was high for bipolar disorder (89%), schizoaffective disorder (89%), and schizophrenia (82%). Psychosis not otherwise specified (13%) was more unstable, with limited baseline differences that would enable clinicians to predict who would convert to a primary psychotic vs affective psychotic disorder.

CONCLUSIONS

Our real-world clinical sample shows that FEP diagnoses, with the exception of unspecified psychosis, are diagnostically stable, even without structured diagnostic interviews.

Validity, Reliability and Clinical Utility of Mental Disorders: The Case of ICD-11 Schizophrenia

Diagnostic classification systems categorise mental psychopathology in mental disorders. Although these entities are clinical constructs developed by consensus, it has been pointed out that in practice they are usually managed as natural entities and without evaluating aspects related to their nosological construction. The objectives of the study are to review a) the conceptualisation of mental disorders, b) the indicators of validity, reliability and clinical utility, and c) the values of these indicators in ICD-11 schizophrenia. The results show that mental disorders are conceptualised as discrete entities, like the diseases of other areas of medicine; however, differences are observed between these diagnostic categories in clinical practice. The reliability and clinical utility of mental disorders are adequate; however, the validity is not yet clarified. Similarly, ICD-11 schizophrenia demonstrates adequate reliability and clinical utility, but its validity remains uncertain. The conceptualisation of psychopathology in discrete entities may be inadequate for its study, therefore dimensional and mixed models have been proposed. The indicators of validity, reliability and clinical utility enable us to obtain an accurate view of the nosological state of mental disorders when evaluating different aspects of their nosological construction.

Diagnostic Stability in Bipolar Disorder: A Narrative Review

LEARNING OBJECTIVES

After participating in this activity, learners should be better able to:• Evaluate diagnostic stability in bipolar disorder• Analyze the factors contributing to diagnostic stability OBJECTIVE: Diagnostic stability is the degree to which a diagnosis remains unchanged during follow-up. It is an important measure of predictive validity in bipolar disorder (BD). In this study, we review the literature concerning diagnostic stability in BD, analyze the factors contributing to diagnostic stability, and describe the implications of diagnostic boundaries and diagnostic delay.

METHODS

A comprehensive literature search of MEDLINE and EMBASE databases was conducted, including all studies published from 1980 to 2016, to evaluate the diagnostic stability of BD. Thirty-seven articles were included: 6 focusing mainly on BD, 18 on psychotic disorders, 10 on depression, and 3 on diagnostic stability in psychiatric disorders in general. Data analysis was performed in standardized fashion using a predefined form.

RESULTS

Despite a high variability of the methodological approaches taken, an acceptable degree of diagnostic stability was found. The most common criteria for evaluating diagnostic stability were prospective consistency and retrospective consistency. The mean prospective and retrospective consistencies were 77.4% and 67.6%, respectively. A large majority of studies were performed in Europe or in North America (67.5%), compared to 21.6% in Asia and only 10.8% in Africa, Oceania, and South America. Extreme ages, female gender, psychotic symptoms, changes to treatment, substance abuse, and family history of affective disorder have been related to diagnostic instability.

CONCLUSIONS

Several factors appear to have a negative impact on the diagnostic stability, but the evidence is insufficient to draw any robust conclusions. Nevertheless, despite variable prospective and retrospective consistencies, the overall diagnostic stability is good. Standardized methods need to be used to obtain more accurate assessments of stability.

Executive deficits in psychotic and bipolar disorders – Implications for our understanding of schizoaffective disorder

Objective

Schizoaffective disorder could be considered as a form of schizophrenia, a form of bipolar disorder, an independent disorder or a disorder intermediate between bipolar disorder and schizophrenia, within a psychotic continuum. The study of cognitive deficits in subjects with those diagnoses could help differentiate between these possibilities.

Methods

We compared cognitive performances of schizoaffective (SZAff) subjects with those of subjects with schizophrenia (SZ), bipolar disorder with psychotic symptoms (life-time) (BDP), bipolar disorder without life-time occurrence of psychotic symptoms (BD) and normal controls (NC). We used two tests of executive functions – the Wisconsin Card Sorting Test (WCST) and the Trail-making Test (TMT) – that are known to be impaired in those disorders.

Results

The number of perseverative errors on WCST was highest in SZ subjects and gradually decreased in SZAff, BDP and, finally in BD subjects. By contrast, SZ and SZAff subjects obtained similar scores in the TMT, as did BD and BDP patients.

Conclusions

These results suggest that, for some deficits, there may be a continuum between SZ, SZAff and affective disorders, whereas SZAff patients most closely resemble SZ patients for other deficits. This implies that different conceptual views about schizoaffective disorder should be seen as complementary, rather than mutually exclusive.

Transition of Substance-Induced, Brief, and Atypical Psychoses to Schizophrenia: A Systematic Review and Meta-analysis

Some people who experience substance-induced psychosis later develop an enduring psychotic disorder such as schizophrenia. This study examines the proportion of people with substance-induced psychoses who transition to schizophrenia, compares this to other brief and atypical psychoses, and examines moderators of this risk. A search of MEDLINE, PsychINFO, and Embase identified 50 eligible studies, providing 79 estimates of transition to schizophrenia among 40 783 people, including 25 studies providing 43 substance-specific estimates in 34 244 people. The pooled proportion of transition from substance-induced psychosis to schizophrenia was 25% (95% CI 18%-35%), compared with 36% (95% CI 30%-43%) for brief, atypical and not otherwise specified psychoses. Type of substance was the primary predictor of transition from drug-induced psychosis to schizophrenia, with highest rates associated with cannabis (6 studies, 34%, CI 25%-46%), hallucinogens (3 studies, 26%, CI 14%-43%) and amphetamines (5 studies, 22%, CI 14%-34%). Lower rates were reported for opioid (12%), alcohol (10%) and sedative (9%) induced psychoses. Transition rates were slightly lower in older cohorts but were not affected by sex, country of the study, hospital or community location, urban or rural setting, diagnostic methods, or duration of follow-up. Substance-induced psychoses associated with cannabis, hallucinogens, and amphetamines have a substantial risk of transition to schizophrenia and should be a focus for assertive psychiatric intervention.

Diagnostic stability in substance-induced psychosis

INTRODUCTION

Substance-induced psychosis (SIP) is the name given to a psychosis that starts in the context of substance abuse but persists for days and weeks with no substance use. There is as yet little knowledge about the longitudinal course of this psychosis, which suggests that significant numbers go on to be diagnosed with a severe mental disorder (SMD). The objective of this study was to analyse the progression of SIP to SMD in our environment and the possible factors that may be involved in that conversion.

MATERIAL AND METHODS

We used a retrospective cohort follow-up design. We reviewed all diagnoses of patients discharged from the psychiatric hospitalisation unit of the University Hospital of Basurto from January 2002 to December 2015 inclusively. In addition to sociodemographic and clinical data, information was collected on the consumption of cannabinoids, opioids, amphetamines, cocaine and alcohol. The data were analysed using descriptive analysis, Kaplan-Meier survival curves and Cox regression.

RESULTS

Of the 116 patients, 78.4% were male, had an average age of 33.0 (SD: 8.9) years and 44.0% were single; 31.0% had a psychiatric family history; the most commonly used substance was cannabis (60.3%), followed by cocaine (40.5%). The cumulative risk of diagnostic conversion to an SMD in 16years was 41.6% (95%CI: 32.2-52.2) over a mean 36.43months.

CONCLUSIONS

In interventions in episodes of SIP we must bear in mind that a significant proportion will progress to an SMD in the first three years.

Suicide in DSM-5: Current Evidence for the Proposed Suicide Behavior Disorder and Other Possible Improvements

Suicide continues to be one of the greatest challenges faced by mental health clinicians and researchers, an issue made worse by increasing trends in the global suicide rate. Suicide behavior disorder (SBD) was introduced in DSM-5 as a disorder for further consideration and potential acceptance into the diagnostic system. There are numerous positive developments that would arise from the addition of a suicide-related diagnosis. Utilizing the 2009 guidelines established by Kendler and colleagues, the present review examines the evidence for SBD's validity and discusses the diagnosis' potential clinical benefits and limitations. Altogether, growing evidence indicates that SBD has preliminary validity and benefit. SBD presents with several significant limitations, however, and possible alternative additions to future DSMs are highlighted.

Evidence-based guidelines for the pharmacological treatment of schizophrenia: Updated recommendations from the British Association for Psychopharmacology

These updated guidelines from the British Association for Psychopharmacology replace the original version published in 2011. They address the scope and targets of pharmacological treatment for schizophrenia. A consensus meeting was held in 2017, involving experts in schizophrenia and its treatment. They were asked to review key areas and consider the strength of the evidence on the risk-benefit balance of pharmacological interventions and the clinical implications, with an emphasis on meta-analyses, systematic reviews and randomised controlled trials where available, plus updates on current clinical practice. The guidelines cover the pharmacological management and treatment of schizophrenia across the various stages of the illness, including first-episode, relapse prevention, and illness that has proved refractory to standard treatment. It is hoped that the practice recommendations presented will support clinical decision making for practitioners, serve as a source of information for patients and carers, and inform quality improvement.

Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders

Understanding whether and how the schizophrenia polygenic risk score (SZ PRS) predicts course of illness could improve diagnosis and prognostication in psychotic disorders. We tested whether the SZ PRS predicts symptoms, cognition, illness severity, and diagnostic changes over the 20 years following first admission. The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Patients were assessed six times over 20 years, and 249 provided DNA. Geographically- and demographically-matched never psychotic adults were recruited at year 20, and 205 provided DNA. Symptoms were rated using the Schedule for the Assessment of Positive Symptoms and Schedule for the Assessment of Negative Symptoms. Cognition was evaluated with a comprehensive neuropsychological battery. Illness severity and diagnosis were determined by consensus of study psychiatrists. SZ PRS was significantly higher in first-admission than never psychotic groups. Within the psychosis cohort, the SZ PRS predicted more severe negative symptoms (β = 0.21), greater illness severity (β = 0.28), and worse cognition (β = -0.35), across the follow-up. The SZ PRS was the strongest predictor of diagnostic shifts from affective to non-affective psychosis over the 20 years (AUC = 0.62). The SZ PRS predicts persistent differences in cognition and negative symptoms. The SZ PRS also predicts who among those who appear to have a mood disorder with psychosis at first admission will ultimately be diagnosed with a schizophrenia spectrum disorder. These findings show potential for the SZ PRS to become a tool for diagnosis and treatment planning.

How Well Does the DSM-5 Capture Schizoaffective Disorder?

Schizoaffective disorder has long been recognized and quite variably defined. It has been variably positioned as a discrete entity, a variant of either schizophrenia or of a mood disorder, as simply reflecting the co-occurrence of schizophrenia and a mood disorder, and effectively reflecting a diagnosis along a continuum linking schizophrenia and bipolar disorder. This article considers historical views, some empirical data that advance consideration of its status, and focuses on its classification in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5). DSM-5 criteria seemingly weight it in the direction of a schizophrenic illness, as do some empirical studies, whereas the empirical literature examining the response to lithium links it more closely to bipolar disorder. It is suggested that DSM-5's B and C criteria are operationally unfeasible. Some suggestions are provided for a simpler definition.

Diagnostic stability of schizophrenia: A systematic review

The objective is to systematically review previous literature on the diagnostic stability of schizophrenia, particularly to investigate prospective and retrospective consistency. We carried out a systematic literature search in PubMed and other minor sources from 1980 to July 2017. Specifically, prospective and retrospective consistency were examined. Thirty-nine studies were included, 5 focused on schizophrenia, 23 on psychotic episodes and 11 on psychiatric disorders in general. Samples sizes range from 60 to 10 058 subjects (total N = 39 965). The majority of studies (n = 26, 66.67%) were performed in Europe and North America and they had a prospective design (n = 27, 69.23%), with a median follow-up of 3 years. Prospective and retrospective consistency means were 84.29% and 67.15% respectively. Diagnostic change was also frequently measured (n = 12, mean 31.28%). The factors more commonly associated with diagnostic stability were: male sex, older age at the study inception, older age at onset, late stages of illness, family history of mental illness, poorer functioning and longer length of stay. Schizophrenia was found to have high diagnostic stability over time, although research on this topic is mainly focused in first psychotic episodes. More standardized methods are needed to further research diagnostic stability of schizophrenia over time and its determinants.

Onset of schizophrenia diagnoses in a large clinical cohort

We aimed to describe the diagnostic patterns preceding and following the onset of schizophrenia diagnoses in outpatient clinics. A large clinical sample of 26,163 patients with a diagnosis of schizophrenia in at least one outpatient visit was investigated. We applied a Continuous Time Hidden Markov Model to describe the probability of transition from other diagnoses to schizophrenia considering time proximity. Although the most frequent diagnoses before schizophrenia were anxiety and mood disorders, direct transitions to schizophrenia usually came from psychotic-spectrum disorders. The initial diagnosis of schizophrenia was not likely to change for two of every three patients if it was confirmed some months after its onset. When not confirmed, the most frequent alternative diagnoses were personality, affective or non-schizophrenia psychotic disorders. Misdiagnosis or comorbidity with affective, anxiety and personality disorders are frequent before and after the diagnosis of schizophrenia. Our findings give partial support to a dimensional view of schizophrenia and emphasize the need for longitudinal assessment.

Neuroimaging Studies in Patients With Mental Disorder and Co-occurring Substance Use Disorder: Summary of Findings

Introduction: More than half of psychiatric patients have comorbid substance use disorder (dual diagnosis) and this rate, confirmed by many epidemiological studies, is substantially higher compared to general population. Combined operation of self-medication mechanisms, common etiological factors, and mutually causative influences most likely accounts for comorbidity, which, despite its clinical prevalence, remains underrepresented in psychiatric research, especially in terms of neuroimaging. The current paper attempts to review and discuss all existing methodologically sustainable structural and functional neuroimaging studies in comorbid subjects published in the last 20 years. Methods: Performing a systematic PubMed/MEDLINE, Web of Science, and Cochrane databases search with predefined key-words and selection criteria, 43 structural and functional neuroimaging studies were analyzed. Results: Although markedly inconsistent and confounded by a variety of sources, available data suggest that structural brain changes are slightly more pronounced, yet not qualitatively different in comorbid patients compared to non-comorbid ones. In schizophrenia (SZ) patients, somewhat greater gray matter reduction is seen in cingulate cortex, dorsolateral prefrontal and frontotemporal cortex, limbic structures (hippocampus), and basal ganglia (striatum). The magnitude of structural changes is positively correlated to duration and severity of substance use, but it is important to note that at least in the beginning of the disease, dual diagnosis subjects tend to show less brain abnormalities and better cognitive functioning than pure SZ ones suggesting lower preexisting neuropathological burden. When analysing neuroimaging findings in SZ and bipolar disorder subjects, dorsolateral prefrontal, cingular, and insular cortex emerge as common affected areas in both groups which might indicate a shared endophenotypic (i.e., transdiagnostic) disruption of brain networks involved in executive functioning, emotional processing, and social cognition, rendering affected individuals susceptible to both mental disorder and substance misuse. In patients with anxiety disorders and substance misuse, a common neuroimaging finding is reduced volume of limbic structures (n. accumbens, hippocampus and amygdala). Whether this is a neuropathological marker of common predisposition to specific behavioral symptoms and drug addiction or a result from neuroadaptation changes secondary to substance misuse is unknown. Future neuroimaging studies with larger samples, longitudinal design, and genetic subtyping are warranted to enhance current knowledge on comorbidity.

Stability in basic self-disturbances and diagnosis in a first treated psychosis: A seven year follow-up study

BACKGROUND

Basic self-disturbances (BSDs) are considered core features of schizophrenia spectrum disorders, and are present in the prodromal, early psychotic and chronic phases. Considerable levels of BSDs are also present at first treatment in some patients with psychotic disorders outside the schizophrenia spectrum. There is limited knowledge about the stability of self-disturbances over time.

AIM

To explore the stability of BSDs in a seven-year follow-up of first treatment patients, and the association between baseline levels and changes in BSDs and diagnostic changes at follow-up.

METHOD

Longitudinal study of 56 patients (35 schizophrenia and 21 non-schizophrenia) recruited at their first treatment for a psychotic disorder. BSDs were assessed using the Examination of Anomalous Self-Experience (EASE), while diagnostic categories, clinical symptom severity, and functioning were assessed with standard clinical instruments.

RESULTS

The schizophrenia group had significantly lower levels of BSDs at follow-up compared to baseline. The EASE domain "Cognition and stream of consciousness" was the most stable. There were no diagnostic changes into or out of schizophrenia spectrum. Patients with schizophrenia had significantly higher levels of BSDs both at baseline and at follow up than patients with psychotic disorders outside the schizophrenia spectrum, who showed stable low levels.

CONCLUSION

We found a decrease and thus less stability in BSDs in schizophrenia than expected. This might indicate that BSDs tent to weaken over time, and that unknown individual characteristics may influence the development of BSDs. Diagnostic stability from baseline to follow-up may be due to long DUP before service entry.

Co-morbid personality disorder in early intervention psychosis clients is associated with greater key worker emotional involvement

AIM

Co-morbid personality disorder (PD) is associated with poorer outcomes in psychosis patients, but it is not known whether these patterns are present at illness onset. This study investigated the prevalence of co-morbid PD in clients of an Early Intervention in Psychosis Service (EIPS) and compared key worker engagement and service use between patients with and without co-morbid PD.

METHOD

Forty-nine participants were recruited from an inner London NHS EIPS. The Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) Axis II Disorders was administered to identify whether participants met criteria for a diagnosis of PD. Key workers completed measures investigating the therapeutic relationship and emotional involvement. Data on service use over a 2-year period from the date on which the patient was accepted by the EIPS were collected from electronic clinical records. Service use and key worker informed data were collected blind to PD diagnosis.

RESULTS

Twenty-two of the 49 (45%) patients met criteria for co-morbid PD. Keyworker worry and tension were significantly higher in relation to patients with co-morbid PD compared with those without. There were no significant differences between groups in appointments offered or attended, but patients with co-morbid PD were significantly less likely to be admitted to hospital than those without.

CONCLUSIONS

Co-morbid PD is common in EIPS patients. The EIPS model is both assertive and intensive; although this appears to be effective in preventing hospital admissions, this does not equip professionals to manage the higher emotional burden associated with a co-morbid PD diagnosis.

Diagnostic consistency and interchangeability of schizophrenic disorders and bipolar disorders: A 7-year follow-up study

AIM

The change in psychiatric diagnoses in clinical practice is not an unusual phenomenon. The interchange between the diagnoses of schizophrenic disorders and bipolar disorders is a major clinical issue because of the differences in treatment regimens and long-term prognoses. In this study, we used a nationwide population-based sample to compare the diagnostic consistency and interchange rate between schizophrenic disorders and bipolar disorders.

METHODS

In total, 25 711 and 11 261 patients newly diagnosed as having schizophrenic disorder and bipolar disorder, respectively, were retrospectively enrolled from the Psychiatric Inpatient Medical Claims database between 2001 and 2005. We followed these two cohorts for 7 years to determine whether their diagnoses were consistent throughout subsequent hospitalizations. The interchange between the two diagnoses was analyzed.

RESULTS

In the schizophrenic disorder cohort, the overall diagnostic consistency rate was 87.3% and the rate of change to bipolar disorder was 3.0% during the 7-year follow-up. Additional analyses of subtypes revealed that the change rate from schizoaffective disorder to bipolar disorder was 12.0%. In the bipolar disorder cohort, the overall diagnostic consistency rate was 71.9% and the rate of change to schizophrenic disorder was 8.3%.

CONCLUSION

Changes in the diagnosis of a major psychosis are not uncommon. The interchange between the diagnoses of schizophrenic disorders and bipolar disorders might be attributed to the evolution of clinical symptoms and the observation of preserved social functions that contradict the original diagnosis. While making a psychotic diagnosis, clinicians should be aware of the possibility of the change in diagnosis in the future.

Utilising symptom dimensions with diagnostic categories improves prediction of time to first remission in first-episode psychosis

There has been much recent debate concerning the relative clinical utility of symptom dimensions versus conventional diagnostic categories in patients with psychosis. We investigated whether symptom dimensions rated at presentation for first-episode psychosis (FEP) better predicted time to first remission than categorical diagnosis over a four-year follow-up. The sample comprised 193 FEP patients aged 18-65years who presented to psychiatric services in South London, UK, between 2006 and 2010. Psychopathology was assessed at baseline with the Positive and Negative Syndrome Scale and five symptom dimensions were derived using Wallwork/Fortgang's model; baseline diagnoses were grouped using DSM-IV codes. Time to start of first remission was ascertained from clinical records. The Bayesian Information Criterion (BIC) was used to find the best fitting accelerated failure time model of dimensions, diagnoses and time to first remission. Sixty percent of patients remitted over the four years following first presentation to psychiatric services, and the average time to start of first remission was 18.3weeks (SD=26.0, median=8). The positive (BIC=166.26), excited (BIC=167.30) and disorganised/concrete (BIC=168.77) symptom dimensions, and a diagnosis of schizophrenia (BIC=166.91) predicted time to first remission. However, a combination of the DSM-IV diagnosis of schizophrenia with all five symptom dimensions led to the best fitting model (BIC=164.35). Combining categorical diagnosis with symptom dimension scores in FEP patients improved the accuracy of predicting time to first remission. Thus our data suggest that the decision to consign symptom dimensions to an annexe in DSM-5 should be reconsidered at the earliest opportunity.

Treatment for the initial acute phase of first-episode psychosis in a real-world setting

Aims and Method

The aim of the study was to examine treatment for the initial acute phase of first-episode psychosis at the Early Psychosis Prevention and Intervention Centre. Information regarding treatment was collected from file notes for all patients (n=112). For a subsample of patients (n=68), remission of positive psychotic symptoms was assessed using standardised ratings at 3-month follow-up.

Results

Treatment provided was largely in accordance with recommended treatment strategies. The majority (72%) of patients achieved rapid remission of positive symptoms.

Clinical Implications

Restrictive practices other than in-patient admission, such as in-patient seclusion, police transport or a community treatment order, can be minimised. The use of low-dose antipsychotic medication is an effective treatment strategy for the initial acute phase of first-episode psychosis.